['.ipynb_checkpoints',
'Soundclassification.ipynb',
'Soundclassification-testing.ipynb',
'genres.tar.gz',
'genres',
'X_train_many.npy',
'y_train_many.npy',
'X_train.npy',
'y_train.npy',
'spec.png',
'MidiBeethovenandMozart',
'Text Generation With LSTM Recurrent Neural Networks in Python with Keras.ipynb',
'X_train_many_features.npy',
'Tere_Jaisa_Acoustic_489483_SongPK.co.in.mp3',
'best_gs_pipeline.pkl',
'BackGrounfFrmBasic.ipynb',
'sultans_novoice1.wav',
'Spec1.png',
'midi.pyc',
'Untitled Folder',
'LSTM Seq-Seq Generation Music.ipynb',
'log',
'plot_vocal_separation.ipynb',
'1_Introduction_to_Music_Unmixing.ipynb',
'track.stem.mp4',
'Sample1_background.wav',
'Sample1_foreground.wav',
'Sound_model_testing_files',
'background.wav',
'BackGroundExtraction.ipynb',
's1.wav',
'right.wav',
'left.wav',
'central.wav',
'central_inv.wav',
'background.midi',
'background1.wav',
'Function_to_decodebackgoi=omg.ipynb',
'example.mid',
'midi.py',
'midi2audio',
'python-musical',
'Pipeline_of_Classifiers_GridSearch.ipynb',
'y_train_many_features.npy',
'Intro(Skit)_[songpk.co.in].mp3',
'Dataset',
'Play_music.ipynb',
'blues.00000.wav',
'Spectograms_to_Audio.ipynb',
'out.wav',
'Untitled1.ipynb',
'StyleTransfer.ipynb',
'Untitled.ipynb',
'sample.wav',
'X_temp_all_songs.npy',
'y_temp.npy',
'blues.wav',
'GAN.ipynb',
'Spegrams',
'GAN for Style Transfer.ipynb',
'Style_Transfer.ipynb',
'op.wav']